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Foundation of Data Science and Analytics

NQR Code:NG-3.5-IT-03725-2025-V1-NIELIT

  • Old Code: NG-3.5-IT-03725-2025-V1-NIELIT

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About this Qualification

Job Description

The Foundation of Data Science and Analytics course offers a thorough introduction to data science, equipping learners with key skills needed in this field. The curriculum includes fundamental concepts, data science workflows, and distinctions from data analytics and machine learning. It covers programming in Python or R, using libraries like NumPy and Pandas, and techniques in data preprocessing, statistical analysis, and visualization with tools such as Matplotlib and Seaborn. The course also introduces machine learning, NLP, and time series analysis, supplemented with real-world case studies from various industries and focuses on ethical practices and data privacy. This course is ideal for beginners seeking a strong foundation in data science.

Eligibility Criteria

Criteria 1 Criteria 2 Experience Training Qualification
10th Pursuing Continuous Schooling No Experience None
8th Passed No Experience 2 year NTC
8th Passed 3 years None
Previous NSQF qualification of Level 3 1.5 Years None

Progression Pathway

  • Vertical: Level 4: AI Application Associate Professional: AI Application Developer (AI)->Senior AI Application Developer (AI)-> AI Engineer-> Machine Learning Engineer -> AI Research Scientists

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
Foundation of Data Science and Analytics NIE/SSC/N1018 Mandatory 120 4 3.5